Scott Freitas Email and Phone Number
Scott Freitas work email
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Scott Freitas personal email
I’m a Principal Applied Scientist at Microsoft Security Research working at the intersection of applied and theoretical machine learning, with a focus on graph mining and deep learning. My goal is to develop explainable, robust, and efficient next-generation cybersecurity systems.I completed my Machine Learning PhD at Georgia Tech where I worked with Polo Chau. I co-authored several winning research proposals, including a multi-million dollar DARPA grant; was awarded PhD fellowships from IBM Research, NSF GRFP and Raytheon; and was fortunate to work with amazing engineers and scientists at IBM Research, Amazon, Microsoft Advanced Threat Protection, Microsoft Research, Intel and the Naval Air Warfare Center.
Microsoft
View- Website:
- microsoft.com
- Employees:
- 10
- Company phone:
- 0124 415 8000
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Principal Applied ScientistMicrosoft Aug 2024 - PresentRedmond, Washington, Us✔️ Leading research into LLM-based agents to automatically identify detection and disruption rule gaps✔️ Shipped an ML-driven threat intelligence platform (TITAN) that fuels key detection and disruption capabilities for Microsoft Defender XDR✔️ Developed an adaptive incident prioritization score to assist in prioritizing security incidents for investigation
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Senior Applied Scientist - 64Microsoft Aug 2023 - Aug 2024Redmond, Washington, Us✔️ Led an ML research team in architecting and delivering key capabilities for our flagship AI product, Copilot for Security, including recommendations for similar incidents, triaging, and remediation. Collaborated across teams to launch the product on a tight timeline.✔️ Created an incident correlation architecture responsible for correlating billions of alerts across hundreds of thousands of enterprises. Reduced our singleton incident rate by 7%, translating into millions of investigation hours saved annually by SOCs.
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Senior Applied Scientist - 63Microsoft Jan 2022 - Sep 2023Redmond, Washington, Us✔️ Developed graph-based algorithms to identify alert correlation gaps, enabling the correlation of millions of alerts into comprehensive incident stories, saving customers millions in investigation time.✔️ Led the development and execution of a comprehensive research integration plan, successfully help merge two billion-dollar security products, M365D and Sentinel, into Microsoft Defender XDR.
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Research Intern, Ibm ResearchIbm Sep 2021 - Dec 2021Armonk, New York, Ny, UsWorked with the Cyber Security Intelligence team to develop unsupervised graph representation learning techniques to detect anomalous activity in cloud platforms. -
Graduate Research AssistantGeorgia Institute Of Technology: Polo Club Of Data Science Aug 2018 - Dec 2021Atlanta, Georgia , UsWorked at the intersection of applied and theoretical machine learning, with a focus on graph mining and deep learning. My goal was to develop explainable next-generation defenses to protect systems against adversarial attacks. -
Applied Scientist InternAmazon May 2021 - Aug 2021Seattle, Wa, UsDeveloped unsupervised and semi-supervised methods to prevent fraudulent transactions across the Amazon marketplace -
Research InternMicrosoft May 2020 - Aug 2020Redmond, Washington, UsWorked with the Advanced Threat Protection team to develop a semi-supervised graph neural network approach to detect malicious software.
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Research InternMicrosoft May 2019 - Aug 2019Redmond, Washington, UsWorked with the Advanced Threat Protection team to design the first framework to model lateral attacks on enterprise networks, enabling IT admins to quantify and mitigate network vulnerability to lateral attacks.
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Graduate Research AssistantAsu Data Lab May 2017 - May 2018Tempe, Az, UsDeveloped web-based prototype for explainable ranking algorithm in complex multi-layered networks.Designed scalable algorithms to (i) improve local graph partitioning using both graph topology and attribute data, (ii) predict the evolution of local communities (https://arxiv.org/abs/1803.05084). -
Summer Research AssistantAsu Data Lab May 2017 - Aug 2017Tempe, Az, UsCreated augmented reality (AR) program for voice and touch interactions (e.g. rotate, scale, move, select) with graph models in Microsoft Hololens.
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Undergraduate Research AssistantAsu Data Lab Jan 2016 - May 2017Tempe, Az, UsDeveloped fast graph mining algorithms for network connectivity analysis. Designed award winning web platform for visualization and analysis (www.path-finder.io).
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Systems EngineerGeneral Dynamics Mission Systems Dec 2014 - Mar 2015Fairfax, Va, UsWorked on the Integrated Threat Force team to develop and refine the communication technology systems. -
Undergraduate Teaching AssistantArizona State University Aug 2013 - Dec 2013Tempe, Az, UsDesigned and taught lesson plans to new engineering students.
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Nreip InternNaval Air Warfare Center May 2013 - Aug 2013Orlando, Florida, UsDesigned systems to prevent electromagnetic interference from coupling into superconducting analog to digital receiver.
Scott Freitas Skills
Scott Freitas Education Details
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Georgia Institute Of TechnologyMachine Learning -
Arizona State UniversityComputer Science
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Arizona State UniversityComputer Science
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Arizona State UniversityElectrical And Electronics Engineering
Frequently Asked Questions about Scott Freitas
What company does Scott Freitas work for?
Scott Freitas works for Microsoft
What is Scott Freitas's role at the current company?
Scott Freitas's current role is Principal Applied Scientist @ Microsoft | ML PhD @ GT | NSF, IBM Research Fellow.
What is Scott Freitas's email address?
Scott Freitas's email address is sc****@****ibm.com
What schools did Scott Freitas attend?
Scott Freitas attended Georgia Institute Of Technology, Arizona State University, Arizona State University, Arizona State University.
What skills is Scott Freitas known for?
Scott Freitas has skills like Python, Graph Mining, Neural Networks, Machine Learning, Deep Learning, C++, Graph Theory.
Who are Scott Freitas's colleagues?
Scott Freitas's colleagues are Aditya Sharma, Alex Alexii, Jorge L. Garcia, Laura Dan Li, Jonathan Pharel, Sandeep Nag, Raghu Raman.
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